This paper is in the following e-collection/theme issue:

Decision Support for Health Professionals (1185) Artificial Intelligence (1371) Clinical Information and Decision Making (1407) Secondary Use of Clinical Data for Research and Surveillance (367)

Published on in Vol 8, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18287, first published .
Construction of a Digestive System Tumor Knowledge Graph Based on Chinese Electronic Medical Records: Development and Usability Study

Construction of a Digestive System Tumor Knowledge Graph Based on Chinese Electronic Medical Records: Development and Usability Study

Construction of a Digestive System Tumor Knowledge Graph Based on Chinese Electronic Medical Records: Development and Usability Study

Authors of this article:

Xiaolei Xiu1 Author Orcid Image ;   Qing Qian1 Author Orcid Image ;   Sizhu Wu1 Author Orcid Image
Article Authors Cited by (15) Tweetations (1) Metrics

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  8. Wu Y, Min H, Li M, Shi Y, Ma A, Han Y, Gan Y, Guo X, Sun X. Effect of Artificial Intelligence-based Health Education Accurately Linking System (AI-HEALS) for Type 2 diabetes self-management: protocol for a mixed-methods study. BMC Public Health 2023;23(1) View
  9. Yang Y, Lu Y, Zheng Z, Wu H, Lin Y, Qian F, Yan W. MKG-GC: A multi-task learning-based knowledge graph construction framework with personalized application to gastric cancer. Computational and Structural Biotechnology Journal 2024;23:1339 View
  10. Cai F, He J, Liu Y, Zhang H. BCSLinker: automatic method for constructing a knowledge graph of venous thromboembolism based on joint learning. Frontiers in Medicine 2024;11 View
  11. Liu C, Li Z, Li J, Qu Y, Chang Y, Han Q, Cao L, Lin S. Research on Traditional Chinese Medicine: Domain Knowledge Graph Completion and Quality Evaluation. JMIR Medical Informatics 2024;12:e55090 View